sj-docx-5-dhj-10.1177_20552076231180677 - Supplemental material for Prospective mixed-methods study evaluating the potential of a voicebot (CovBot) to relieve German health authorities during the COVID-19 infodemic

Autor:	Voelskow, Vanessa, Meßner, Claudia, Kurth, Tobias, Busam, Amelie, Glatz, Toivo, Ebert, Natalie
Rok vydání:	2023
Předmět:	FOS: Computer and information sciences 200299 Cultural Studies not elsewhere classified Science Policy FOS: Clinical medicine FOS: Political science 150310 Organisation and Management Theory Cardiology 111799 Public Health and Health Services not elsewhere classified FOS: Health sciences 110306 Endocrinology 110308 Geriatrics and Gerontology 99999 Engineering not elsewhere classified FOS: Sociology FOS: Economics and business 111099 Nursing not elsewhere classified FOS: Other engineering and technologies Sociology 111708 Health and Community Services Anthropology 111702 Aged Health Care 89999 Information and Computing Sciences not elsewhere classified FOS: Other humanities 160512 Social Policy 111299 Oncology and Carcinogenesis not elsewhere classified
ISSN:	2055-2076
DOI:	10.25384/sage.23350504
Popis:	Supplemental material, sj-docx-5-dhj-10.1177_20552076231180677 for Prospective mixed-methods study evaluating the potential of a voicebot (CovBot) to relieve German health authorities during the COVID-19 infodemic by Vanessa Voelskow, Claudia Meßner, Tobias Kurth, Amelie Busam, Toivo Glatz and Natalie Ebert in DIGITAL HEALTH
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::de799859a716bdb68ccee5e5425ddd80 Zobrazit plný text záznamu